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Tag Archive 'Auto3Dscapes'

In recently published work, we show how change analysis from near-continuous 3D time series improves by considering full temporal information. How can it be done? Using 4D objects-by-change!
The method was applied to an hourly time series of terrestrial laser scans acquired for snow cover monitoring. In the snow-covered scene at the Zugspitze ski resort, all [...]

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Was für Forschung und Ziele stecken denn hinter dieser Abbildung?

In einem aktuellen Beitrag in der Zeitschrift Ruperto Carola erläutert Professor Höfle stellvertretend für die gesamte 3DGeo Heidelberg Forschungsgruppe, was Umweltbeobachtung in 4D bedeutet und hebt die Bedeutung von Open Science - Open Source - Open Access hervor:

ABSTRACT: Rund um die Uhr beobachten Laserscanner beispielsweise das [...]

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Our work on “Time Series-Based Coastal Surface Change Analysis using Hourly Terrestrial Laser Scans” was featured with a live presentation at this year’s digital event of the ISPRS Congress. The presentation by Katharina Anders was further made available as pre-recorded video, which you can now watch on the 3DGeo YouTube channel:

The presented work is part [...]

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The research of the 3DGeo group is featured in a press release about Understanding the Spatial and Temporal Dimensions of Landscape Dynamics. The text illustrates how Heidelberg geoinformation scientists develop new computer-based method to analyse topographic changes.

The described method is published in this article:

Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S. E., Höfle [...]

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When and where do changes occur in dynamic natural landscapes? A new method has been published that enables the automatic extraction of surface changes from entire time series of 3D point clouds. The developed method of spatiotemporal segmentation extracts changes regarding their surface change history, which makes it particularly useful for natural scenes that are [...]

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Time series of topographic point clouds offer great possibilities to advance our understanding of dynamic landscapes. To exploit the full information these 4D datasets contain on spatial and temporal properties of natural surface changes, the 3DGeo research group is developing methods for 4D change analysis. These methods are required to answer fundamental questions on the [...]

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This new video by the 3DGeo group presents the challenges of 3D Earth observation and our advances in 4D change analysis in the frame of the Auto3Dscapes project:

Direct link to the video: https://youtu.be/Fdwq-Cp0mFY
Many thanks to Claudia Denis and David Jäger for helping to realize the video! We are also very happy about the fruitful ongoing [...]

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Always been curious about how we develop our methods for 3D/4D change analysis?
Then check out our new video on high-resolution and high-frequency monitoring of a rock glacier in Austria!
Link to video

LiDAR datasets of the rock glacier provide the basis for the development of 3D and 4D methods for geomorphic change quantification within different research projects [...]

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How can surface change processes be detected and delineated in large time series of 3D point clouds? A paper on the extraction of 4D objects-by-change has just been published in the ISPRS Journal of Photogrammetry and Remote Sensing. It presents an automatic method for 4D change analysis that includes the temporal domain by using [...]

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This week, the 3DGeo participated in the ISPRS Geospatial Week 2019 with two presentations among the sessions of the Laser Scanning Workshop with many interesting talks and poster.
Presentations were given by Ashutosh Kumar in the Machine Learning Session and Katharina Anders in the Change Detection Session.
Highlight: The work by Ashutosh Kumar on feature relevance in [...]

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